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pipeline.yaml
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pipeline.yaml
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# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
---
resources:
# A list of GCP resources that are unique and specific to your pipeline.
#
# The currently supported resources are shown below. Use only the resources
# needed by your pipeline, and delete the rest of the examples.
#
# We will keep adding to the list below to support more Google Cloud resources
# over time. If a resource you need isn't supported, please file an issue on
# the repository.
- type: bigquery_table
# A Google BigQuery table to store your data. Requires a `bigquery_dataset`
# to be specified in the config (i.e. `dataset.yaml) for the dataset that
# this pipeline belongs in.
table_id: flights_impact_data
description: "Flights impact data"
dag:
# [Required] Specify the Airflow version of the operators used by the DAG.
airflow_version: 2
initialize:
dag_id: flights_impact_data
default_args:
owner: "Google"
depends_on_past: False
start_date: '2021-01-09'
max_active_runs: 1
schedule_interval: "0 15 * * *" # Daily at 3pm UTC
catchup: False
default_view: graph
tasks:
- operator: "GoogleCloudStorageToBigQueryOperator"
# Initializes GCS to BQ task for the DAG. This operator is used to load a
# JSON, CSV, Avro, ORC, or Parquet data from GCS into a BigQuery table.
# Task description
description: "Task to load CSV data to a BigQuery table"
# Arguments supported by this operator:
# http://airflow.apache.org/docs/apache-airflow/stable/howto/operator/gcp/gcs.html#googlecloudstoragetobigqueryoperator
args:
task_id: "flights_impact_data_gcs_to_bq"
# The GCS bucket where the CSV file is located in.
bucket: "{{ var.json.travel_impact_model.source_bucket }}"
# Use the CSV file containing data from today
source_objects: ["flights_impact_data.csv"]
source_format: "CSV"
destination_project_dataset_table: "travel_impact_model.flights_impact_data"
# Use this if your CSV file contains a header row
skip_leading_rows: 1
# How to write data to the table: overwrite, append, or write if empty
# See https://cloud.google.com/bigquery/docs/reference/auditlogs/rest/Shared.Types/WriteDisposition
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "carrier"
type: "STRING"
mode: "REQUIRED"
description: "IATA code of the airline operating the flight"
- name: "flight_number"
type: "STRING"
mode: "REQUIRED"
description: "Flight number assigned by the operating airline"
- name: "departure_date"
type: "DATE"
mode: "REQUIRED"
description: "Departure date of the flight"
- name: "origin"
type: "STRING"
mode: "REQUIRED"
description: "IATA airport code of the origin"
- name: "destination"
type: "STRING"
mode: "REQUIRED"
description: "IATA airport code of the destination"
- name: "economy_emissions_grams_per_pax"
type: "INTEGER"
mode: "REQUIRED"
description: "Estimated emissions in grams for one passenger in economy cabin"
- name: "premium_economy_emissions_grams_per_pax"
type: "INTEGER"
mode: "REQUIRED"
description: "Estimated emissions in grams for one passenger in premium economy cabin"
- name: "business_emissions_grams_per_pax"
type: "INTEGER"
mode: "REQUIRED"
description: "Estimated emissions in grams for one passenger in business cabin"
- name: "first_emissions_grams_per_pax"
type: "INTEGER"
mode: "REQUIRED"
description: "Estimated emissions in grams for one passenger in first cabin"
graph_paths:
- "flights_impact_data_gcs_to_bq"